corr_ss {metan}

Sample size planning for a desired Pearson's correlation confidence interval

Description

Find the required (sufficient) sample size for computing a Pearson correlation coefficient with a desired confidence interval (Olivoto et al., 2018) as follows \[n = {\left[ {\frac{{C{I_w}}}{{{{0.45304}^r} \times 2.25152}}} \right]^{{\rm{ - 0}}{\rm{.50089}}}}\]

where \(CI_w\) is desired confidence interval and \(r\) is the correlation coefficient.

Usage

corr_ss(r, CI, verbose = TRUE)

Arguments

r

The magnitude of the correlation coefficient.

CI

The half-width for confidence interval at p < 0.05.

verbose

Logical argument. If verbose = FALSE the code is run silently.

Author(s)

Tiago Olivoto [e-mail]

References

Olivoto, T., A.D.C. Lucio, V.Q. Souza, M. Nardino, M.I. Diel, B.G. Sari, D.. K. Krysczun, D. Meira, and C. Meier. 2018. Confidence interval width for Pearson's correlation coefficient: a Gaussian-independent estimator based on sample size and strength of association. Agron. J. 110:1-8. doi:10.2134/agronj2016.04.0196

Examples

corr_ss(r = 0.60, CI = 0.1)